Chitchatter is a browser-based chat room for text, voice, video, screen sharing, and file transfers that exists only while its members are connected and keeps no record of what was said. Every visit starts with a random room name generated on your device, a UUID or a readable passphrase, and you invite people with the link or a QR code. Public rooms admit anyone with the link; private rooms also require a matching password. Messages support Markdown, multiline text, and code blocks, and clicking a name opens a direct conversation. Newcomers to public rooms receive the earlier conversation from peers already there, and typing indicators show who is writing. Start an audio or video call, share your screen to walk a relative through a settings problem, or hand over a file of any size, encrypted before it leaves your browser. Public-key checks verify each peer automatically, with a green lock marking everyone who passes and an icon showing whether the link is direct or relayed. Embed a room in any web page with an iframe or a web component that takes a room name, user name, and color mode. Light and dark themes are built in, and notifications and sounds announce new messages while you work in another tab. Close the tab and the transcript disappears. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. GPL-2.0 licensed.

On your own server, TypeType runs a private video platform for YouTube, NicoNico, and BiliBili, keeping subscriptions, history, and playlists out of someone else's recommendation engine. Pick a service and search it. Browse channels, Shorts, podcasts, and a home feed. Speed and quality control. Cinema mode. Native picture-in-picture. Subtitles, alternate audio tracks, and frame-by-frame stepping. SponsorBlock segments get skipped, or just marked, by category. Subscriptions, playlists, watch later, favorites, and resume positions fill the library. Import a Google Takeout export or a PipePipe backup and a new instance never starts empty. Download video or audio to local or S3-compatible storage and collect it in the browser when it is ready. Sign in locally or through OIDC. An admin console runs the instance. Block a channel and it disappears from feeds, search, and related videos. Hide Shorts. Hide personalized recommendations. Hide the suggestions column. A native Android client for phones and tablets syncs with the same instance. An optional experimental recommender can build a personalized home feed, and each user chooses whether to turn it on. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Up to 280 search services - Google, Bing, DuckDuckGo, Brave, Qwant, Startpage - aggregated without tracking or profiling: SearXNG is a privacy-respecting metasearch engine (AGPL-3.0, successor to Searx). Your instance queries the upstream engines on your behalf: your IP address, cookies, and search history never reach them, tracker parameters are stripped from result URLs, and an optional image proxy fetches thumbnails server-side so result pages leak nothing. It can even route outbound queries through Tor for full anonymity. Search is organized into categories - general, images, videos, news, maps, music, IT, science, files - with bang shortcuts for targeting specific engines, and every source can be enabled, disabled, or weighted per category in settings.yml. A plugin system adds calculators, hash tools, tracker removal, and unit conversions inline, and preferences (themes, safe search, languages, engine selection) persist in cookies rather than server-side accounts. The real argument for running your own instance rather than trusting a public one is control: you decide the logging policy (none), the engine mix, rate limiting, and who gets access - making it the default search backend for browsers, families, and teams that want Google-quality results without the profile.

GoatCounter delivers meaningful web traffic insights — pageviews, referrers, browsers, screen sizes, country-level geolocation — without setting a single cookie, without collecting personal data, and without forcing GDPR consent banners on your visitors. Written entirely in Go and distributed as a single compiled binary consuming roughly 25MB of RAM, it adds just 3.5KB to your pages via the tracking script, with a JavaScript-free tracking pixel alternative for sites that avoid scripts entirely, plus backend middleware integration and log file import for server-side collection. The dashboard displays pageview counts per path with hourly resolution, referrer sources grouped by domain with full URL on hover, browser and OS version breakdowns, screen size distributions, and country-level location data derived from IP addresses that are immediately discarded after geolocation. Campaign tracking supports UTM parameters and custom data attributes. A public stats option exposes your dashboard at a shareable URL for build-in-public transparency. SQLite serves as the default database requiring zero administration, while PostgreSQL handles higher-traffic deployments with multi-site setups. Built-in ACME and TLS certificate management eliminates reverse proxy requirements for HTTPS — no Nginx or Caddy needed. The REST API provides programmatic access to all analytics data. Deploy as a single binary, via Docker with the official arp242/goatcounter image, or through native packages. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. EUPL-1.2 licensed.

Perplexity's answer-engine experience, self-hostable and open-source: Morphic searches the web and writes cited answers. Instead of returning a list of links, it searches the web, reads the sources, and generates a complete answer with inline numbered citations. The generative UI streams rich components, source cards with thumbnails, image grids, syntax-highlighted code, and LaTeX math, rather than plain markdown. Quick mode answers fast; Adaptive mode runs deeper multi-step research. Search backends are pluggable: the Docker Compose bundle ships with a private SearXNG instance so no search API key is required, and Tavily, Brave, and Exa are supported alternatives. LLM providers include OpenAI, Anthropic, Google, Ollama, and any OpenAI-compatible endpoint, with per-mode model mapping - fast, cheap models for quick searches, stronger models for adaptive research, tuning the cost-quality trade-off per query type. An inspector panel exposes tool execution during multi-step research, and AI-suggested follow-up questions keep an investigation moving. Chat history persists in PostgreSQL, results are shareable by URL, file uploads feed context into queries, and optional Supabase authentication adds multi-user or guest access. Because the default search path is your private SearXNG instance, research topics never hit a commercial search API - and with local Ollama models the marginal cost of a query approaches zero. Built with Next.js, TypeScript, and the Vercel AI SDK under Apache 2.0.

Nod is a personal AI assistant with its own computer, so you can hand it an errand like chasing an unpaid invoice or cancelling a trial and watch it finish the job on real websites. One ongoing conversation follows you from the browser to Telegram and WhatsApp, and long jobs become saved tasks with live status lines on a Scheduled page. Connect Gmail, Calendar, Slack, Notion, Linear, or an n8n instance, and it reads threads, drafts the replies you owe, and prepares a one-page brief before each call. Every action that could change something is checked against your rules, and anything uncovered waits for your yes. Passwords, codes, and cards sit in a Vault that the server types into websites, so the model never sees them. Memory notes are visible, editable, and tied to the message they came from. Schedules run recurring checks like a weekly recap or a price watch that speaks up only on change. Usage lists every action with costs and a monthly spending limit. Pick OpenAI, Anthropic, Gemini, OpenRouter, Bedrock, or a local Ollama server as the model. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache-2.0 licensed.

No targets, no gamification spiral, no motivational nagging: Beaver Habit Tracker is a self-hosted habit tracker deliberately built without "Goals". The core loop is honest: add habits, check them off each day, watch streaks accumulate on a calendar view. Its design follows behavioral-science basics - make it obvious (visual streak cues), make it attractive (progress is the motivator), make it satisfying (tracking becomes its own reward). Beyond the daily checklist it supports per-day notes intelligently grouped per habit, periodic habits, habit categories and tags, drag-to-reorder (manual or automatic), dark mode, and detailed streak and frequency views. Data lives where you choose: a single SQLite database or flat JSON files on a mounted volume, with JSON export and import for full portability. A REST API opens automation - community integrations already cover Stream Deck buttons, Home Assistant triggers, and CalDAV. The Python app ships as one Docker container with no external dependencies; environment variables tune everything from first day of week and index-page columns to iOS standalone PWA mode, and single-user setups can bypass the login entirely with TRUSTED_LOCAL_EMAIL. BSD-3-Clause licensed with no commercial restrictions - a well-executed single-purpose tool whose mobile PWA works anywhere a browser does.

With nearly 3,000 GitHub stars and active development since 2014 through version 14.2.0, Yopass eliminates the universal bad habit of sharing passwords and API keys through Slack messages, email threads, and ticket systems by encrypting secrets entirely in the browser using OpenPGP before anything reaches the server. The Go backend stores only ciphertext — it never sees plaintext — while the React frontend handles all encryption and decryption client-side, generating one-time URLs that self-destruct after a single viewing or when the configured expiration of one hour, one day, or one week passes. File upload support streams encrypted files with configurable size limits, and optional custom password protection adds a second encryption layer beyond the URL-embedded key. The server supports Redis or Memcached as storage backends with automatic key expiration, deploying via Docker Compose in under five minutes or as Kubernetes manifests for production environments. Built-in TLS support works alongside reverse proxy configurations for Nginx, Caddy, and Traefik with automatic Let's Encrypt certificate provisioning. Prometheus metrics expose HTTP request counts, latency histograms, and secret lifecycle counters for Grafana dashboard integration and alerting. Read-only mode enables split-instance deployments separating secret creation from retrieval across different network zones. Multi-language support localizes the interface for international teams. The open-source core under Apache 2.0 provides full self-hosted functionality with no account management required. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache-2.0 licensed.

Grammar, punctuation, and style errors a dictionary lookup can't see: LanguageTool is open-source proofreading powered by a Java rule engine covering English, German, Spanish, French, Portuguese, Dutch, and 25+ other languages. Self-hosting the HTTP server is how you get Grammarly-class checking without sending every sentence you write to a third party - a real concern when the text being proofread is confidential email, legal drafts, or unreleased documentation. Your instance exposes the standard /v2/check API, so the official ecosystem plugs straight in: browser extensions for Chrome and Firefox accept a custom server URL, and integrations exist for VS Code, LibreOffice, Obsidian, Vim, Emacs, and many editors. Notably, self-hosting restores free browser-extension checking that the hosted service moved behind a premium subscription - your server, no character limits, no paywall. Detection quality is tunable: optional n-gram datasets (multi-gigabyte language models for en, de, es, fr, nl) teach the engine word-order and confusion-pair errors like there/their and brakes/breaks, and a fastText model improves automatic language identification. Everything runs offline once models are downloaded. The core is LGPL, the API is documented with Swagger, and rules are community- maintained and constantly expanding.

Security-conscious IT departments pick Passbolt for its cryptography: every user holds an OpenPGP key pair, and shared credentials are encrypted individually to each recipient's public key - real end-to-end encryption, not a vault password handed around. All crypto runs client-side in the mandatory browser extension (distributed and signed through the Chrome and Firefox stores, deliberately separating the crypto code from the server that stores ciphertext); private keys and passphrases never touch your instance, and the server admin cannot read a single secret. Authentication uses the challenge-based GpgAuth protocol, secrets are digitally signed to verify sender integrity, and metadata encryption extends protection to resource names and URLs. Day to day it behaves like a polished commercial manager: auto-fill and auto-save in forms, strong password generation, anti-phishing protection, TOTP storage, folder hierarchies shared per-user or per-group with fine-grained permissions and instant cryptographic revocation. Native iOS, Android, and desktop apps ship alongside a JSON API, CLI, and SDKs for CI/CD secret retrieval and rotation. The PHP server runs on MariaDB and is AGPL-licensed open source - including the paid tiers' codebase - with published security audits.

Perplexity's search experience without Perplexity: Vane deploys Perplexica, an open-source AI answer engine built as the self-hosted alternative. Instead of returning a page of links, it reads your question, searches the live web through the SearxNG metasearch engine, and composes a direct answer with cited sources. Retrieval quality comes from embeddings and similarity search: fetched pages are re-ranked against the query so the model answers from the most relevant passages rather than whatever ranked first. Two query modes cover different needs - Normal mode runs a straightforward web search, while Copilot mode generates multiple reformulated queries and actively pulls content from top matches for harder questions. Focus modes specialize retrieval for academic papers, YouTube, Reddit discussions, Wolfram Alpha calculations, or the general web. The answering model is your choice: OpenAI-compatible APIs or fully local LLMs such as Llama 3 and Mixtral through Ollama, which keeps queries entirely on your infrastructure. Because SearxNG pulls live results, answers reflect current information, and no search history is tracked.

No cookies, no fingerprinting, no cross-site tracking, no personal data collection - Umami's privacy contract is the foundation of the open-source web analytics platform. IP addresses are hashed rather than stored, which makes it GDPR, CCPA, and PECR compliant by default - the consent banner can come off the site entirely. The tracking script is under 2 KB, roughly 20x smaller than Google Analytics, so measurement stops being a page-weight tax. The dashboard covers the core metrics - pageviews, visitors, bounce rate, visit duration, referrers, browsers, devices, and countries - with any date range and filtering by country or device. Beyond pageviews, custom events track clicks, form submissions, and signups via a data attribute or one JavaScript call, and advanced reports add funnels, user journeys, retention and cohort analysis, goals, and automatic UTM campaign tracking. Anonymous session views show individual visitor activity without identifying anyone. Teams share websites with role-based access, one instance manages unlimited sites, and a full REST API exposes every metric programmatically. MIT-licensed and self-hosted on PostgreSQL or MySQL via Docker, your analytics data never leaves your infrastructure.

Redlib lets you read Reddit without an account, ads, or trackers, through a clean page served from a machine you control. Open any subreddit, user profile, or comment thread and the server fetches the content and relays every image and video itself, so your browser never talks to Reddit directly. Pages need no JavaScript, unless you opt in to HLS video playback with sound. Choose card, clean, or compact layouts, a wide interface, and one of more than a dozen themes, from Dracula and Nord to Gruvbox and Tokyo Night. Post and comment sorting, a search box scoped to the current subreddit, a wiki tab, and subreddit filters help you find and tame your feed. Subscriptions build a personal home page with no login. Spoilers and NSFW previews can be blurred or hidden, and an SFW-only mode blocks mature content for the whole instance. Optional RSS feeds let a feed reader follow subreddits. Links to removed posts open in a configurable undelete viewer. Operators set defaults through environment variables, add an instance banner, discourage search indexing, and route outbound traffic through an HTTP or SOCKS proxy. Settings live in a browser cookie and can be exported or imported between devices. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

Roughly $1M of development work, open-sourced: Maybe Finance began as a $249/year commercial personal finance product before the company released it all. It aggregates bank accounts, credit cards, loans, investments, crypto, and real estate into a single net worth dashboard with historical trend charts - replacing the spreadsheet that usually glues a whole portfolio together. Transactions are categorized and tagged with rules, with merchant tracking and search across imported or synced activity; budgets track spending by category against plan; and the investment view follows holdings, cost basis, and returns across brokerage accounts. Multi-currency support converts accounts held in different currencies into a single reporting currency, bank synchronization works through Plaid where supported, and manual CSV import covers any institution. An optional AI assistant answers questions grounded in your own financial data. Because the app was built as a paid product with professional design before being open-sourced, its interface quality exceeds most community finance tools - and self-hosting means your balances and transactions are not monetized by a free app or gated behind an annual subscription. The stack is Ruby on Rails with Hotwire on PostgreSQL, licensed AGPL-3.0 and deployed via Docker. The original repository is archived; development continues in the community fork Sure, compatible with the same self-hosted setup.

With over 9,000 GitHub stars earned since Google killed its browser-based Timeline, Dawarich fills the gap with a fully self-hosted location history platform that keeps your movement data under your control. Built on Ruby on Rails 8.0 with PostgreSQL and the PostGIS spatial extension for geometry-based queries, Dawarich imports your entire Google Takeout location archive in minutes and begins rendering interactive maps immediately. The visualization engine supports five map layers — heatmaps, points, lines, Fog of War exploration tracking, and a 3D globe view — each powered by Leaflet and spatial SQL rather than browser-side computation. Native iOS and Android apps handle background GPS tracking with offline support, automatically uploading location points when connectivity returns, while third-party integrations support OwnTracks, GPSLogger, Overland, Home Assistant, Traccar, and PhoneTrack. The trip system lets you create route visualizations between any two dates, attach notes, replay travel paths with a timeline scrubber, and share trips publicly with phrase-protected links and per-section visibility controls. Immich and PhotoPrism integrations automatically overlay geotagged photos on your maps and trips, while AirTrail integration renders flight history as arcs. Statistics dashboards break down countries visited, cities explored, total distance traveled, and active days by year and month, with visit detection suggesting places you have frequented. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

The most feature-complete open-source alternative to Google's NotebookLM — a self-hosted research platform where you upload PDFs, videos, audio files, and web pages into organized notebooks, then chat with your content, generate multi-speaker podcasts, and run semantic search across everything without sending a single byte to Google's servers. The podcast engine supports 1-4 fully customizable speakers with backstories, personalities, and expertise profiles, generating professional audio dialogue through OpenAI, ElevenLabs, Google TTS, or completely local text-to-speech via Kokoro for maximum privacy. Content processing uses token-based chunking with RAG-powered retrieval grounded in your uploaded sources, while both full-text keyword search and semantic vector search via SurrealDB enable conceptual discovery across all notebooks. The 18+ supported AI providers include OpenAI, Anthropic, Google Gemini, Groq, Ollama, LM Studio, and more — configurable per task so you can route cheap models to summarization and powerful models to analysis. Content transformations extract insights, generate summaries, create study guides, and produce structured outputs from any source material. The MCP integration connects Open Notebook to Claude Desktop, VS Code, and other MCP clients for seamless workflow integration. A full REST API on port 5055 enables complete automation of notebook management, source upload, and podcast generation. Deploy via Docker Compose with the application container, SurrealDB v2 on RocksDB, and optional TTS containers. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

With over 1,600 GitHub stars and a design philosophy that fundamentally rethinks how time tracking should work, Traggo abandons the traditional project-task hierarchy that forces your work into rigid categories and instead lets you tag time spans with arbitrary key-value pairs — project:website, type:coding, client:acme, billable:yes — enabling cross-dimensional analysis that conventional trackers cannot replicate. The Go backend compiles into a single binary that runs alongside a SQLite database and embedded web UI in under 10MB total, consuming approximately 50MB of RAM at runtime and starting in seconds on even the smallest VPS. Tags are the fundamental data model: create any tag key with any set of values, then apply multiple tags to each time span simultaneously to track by project, client, task type, energy level, or any other dimension your workflow demands. Customizable dashboards render pie charts, bar charts, and line graphs from tag-aggregated data, letting you visualize time distribution across any combination of dimensions over configurable date ranges. The calendar view displays time spans as colored blocks across days and weeks, while the list view provides chronological entry browsing with inline editing. Multiple themes including light and dark modes adapt the interface to personal preference, and simple user management with role-based access supports small team deployments. Docker deployment runs a single container exposing port 3030 with multi-architecture support for amd64, arm64, and arm v7. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. GPL-3.0 licensed.

With over 38,000 GitHub stars, nearly one million registered users, and over 1.3 million resumes created, Reactive Resume delivers a professional resume creation experience that rivals commercial platforms like Resume.io and Zety without collecting user data, showing advertisements, or imposing paywall restrictions. The real-time WYSIWYG editor renders changes instantly as users type, providing immediate visual feedback across all resume sections including work experience, education, skills, certifications, projects, and custom sections with typed extensions. Over fifteen professionally designed templates with full color customization, font selection, spacing adjustment, and icon style selectors ensure each resume reflects individual style preferences. The drag-and-drop system lets users move items between sections and pages freely across multi-column and full-width layouts. PDF generation produces pixel-perfect documents using a headless Chromium rendering pipeline, ensuring consistent output across all devices and print settings. Multi-language support covers over twenty languages with RTL script handling for Arabic and Hebrew. Authentication supports passkeys and multiple OAuth providers via Better Auth, while self-hosted deployment runs via Docker Compose with PostgreSQL and Browserless for PDF rendering. The import system accepts JSON Resume format, LinkedIn data exports, and PDF/DOCX files when AI integration is configured. AI-powered content suggestions using OpenAI, Google Gemini, Anthropic Claude, or local Ollama models help improve bullet points and professional summaries. A CSS editor with autocompletion allows fine-grained styling control. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.